Wenlu Zhang
Title
Cited by
Cited by
Year
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
W Zhang, R Li, H Deng, L Wang, W Lin, S Ji, D Shen
NeuroImage 108, 214-224, 2015
5262015
Deep learning based imaging data completion for improved brain disease diagnosis
R Li, W Zhang, HI Suk, L Wang, J Li, D Shen, S Ji
International Conference on Medical Image Computing and Computer-Assisted …, 2014
2832014
Deep model based transfer and multi-task learning for biological image analysis
W Zhang, R Li, T Zeng, Q Sun, S Kumar, J Ye, S Ji
IEEE transactions on Big Data, 2016
1142016
A sparsity-inducing formulation for evolutionary co-clustering
S Ji, W Zhang, J Liu
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
152012
Retrospective correction of motion artifact affected structural MRI images using deep learning of simulated motion
BA Duffy, W Zhang, H Tang, L Zhao, M Law, AW Toga, H Kim
132018
Evolutionary soft co-clustering: formulations, algorithms, and applications
W Zhang, R Li, D Feng, A Chernikov, N Chrisochoides, C Osgood, S Ji
Data Mining and Knowledge Discovery 29 (3), 765-791, 2015
132015
Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns
R Li, W Zhang, S Ji
BMC bioinformatics 15 (1), 209, 2014
112014
A mesh generation and machine learning framework for Drosophilagene expression pattern image analysis
W Zhang, D Feng, R Li, A Chernikov, N Chrisochoides, C Osgood, ...
BMC bioinformatics 14 (1), 372, 2013
112013
Sparsity learning formulations for mining time-varying data
R Li, W Zhang, Y Zhao, Z Zhu, S Ji
IEEE Transactions on Knowledge and Data Engineering 27 (5), 1411-1423, 2014
102014
A probabilistic latent semantic analysis model for coclustering the mouse brain atlas
S Ji, W Zhang, R Li
IEEE/ACM transactions on computational biology and bioinformatics 10 (6 …, 2013
102013
Evolutionary Soft Co-Clustering
W Zhang, S Ji, R Zhang
62013
Towards Adaptive Ontology Visualization - Predicting User Success from Behavioral Data
WZ Bo Fu, Ben Steichen
International Journal of Semantic Computing 13 (4), 2019
12019
Classification of Shark Behaviors using K-Nearest Neighbors
S Karan, EN Meese, Y Yang, HG Yeh, CG Lowe, W Zhang
2019 IEEE Green Energy and Smart Systems Conference (IGESSC), 1-6, 2019
2019
Deep Convolutional Neural Networks for Shark Behavior Analysis
HGY Wenlu Zhang, Anthony Martinez, Emily Meese, Christopher G. Lowe, Yu Yang
IEEE Green Energy & Smart System Conference, pp. 1-6, 2019
2019
Deep Learning Models for Biomedical Image Analysis
B Ji, W Zhang, R Li, H Ji
Computational Models for Biomedical Reasoning and Problem Solving, 128-148, 2019
2019
A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications
W Zhang
2016
Communications & Digital Signal Processing
I Alvarado, J Bai, M Arifujjaman, S Abu-elzait, HJJ Yeh, R Sturdivant, ...
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